Thermal Modeling of Temperature Distribution in Metal Additive Manufacturing Considering Effects of Build Layers, Latent Heat, and Temperature-Sensitivity of Material Properties
Thermal Modeling of Temperature Distribution in Metal Additive Manufacturing Considering Effects of Build Layers, Latent Heat, and Temperature-Sensitivity of Material Properties
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DOI：
10.3390/jmmp2030063
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发表时间：
2018-09-01
影响因子：
3.2
通讯作者：
Liang, Steven Y.
中科院分区：
文献类型：
--
作者：
Mirkoohi, Elham;Ning, Jinqiang;Liang, Steven Y.
提出了一种基于物理的分析模型，以预测金属增材制造（AM）过程中的温度分布，通过考虑各层中的温度历史，材料性能和潜热的温度敏感性的影响。采用移动热源分析法，预测半无限固体材料内部的温度分布。沉积到控制体积中的激光热能被材料热力学潜热吸收并通过接触固体边界传导。该分析模型首次考虑了增材制造工艺的典型多层方面。涉及多个层的问题的建模是非常重要的，因为连续层的热相互作用影响的温度梯度，这决定了传热和热应力发展机制。计算了各向同性和均匀材料的温度分布。该模型可用于预测直接金属沉积或选择性激光熔化的基于激光的金属增材制造配置中的温度。还进行了数值分析，以模拟金属AM中的温度分布。这两个模型与实验结果进行了比较。所提出的模型也很好地捕捉到熔池的几何形状，因为它是比较实验值。为了强调解决考虑多层的问题的重要性，将考虑层添加的峰值温度与不考虑层添加的峰值温度进行比较。结果表明，考虑金属增材制造的层添加方面可以帮助更好地预测表面温度和熔池几何形状。分析了在温度预测中考虑材料性能的温度敏感性的重要性。分析和数值模拟的计算时间的比较。基于所获得的结果，它似乎所提出的分析方法提供了一个有效的和准确的方法来预测金属AM中的温度。
A physics-based analytical model is proposed in order to predict the temperature profile during metal additive manufacturing (AM) processes, by considering the effects of temperature history in each layer, temperature-sensitivity of material properties and latent heat. The moving heat source analysis is used in order to predict the temperature distribution inside a semi-infinite solid material. The laser thermal energy deposited into a control volume is absorbed by the material thermodynamic latent heat and conducted through the contacting solid boundaries. The analytical model takes in to account the typical multi-layer aspect of additive manufacturing processes for the first time. The modeling of the problem involving multiple layers is of great importance because the thermal interactions of successive layers affect the temperature gradients, which govern the heat transfer and thermal stress development mechanisms. The temperature profile is calculated for isotropic and homogeneous material. The proposed model can be used to predict the temperature in laser-based metal additive manufacturing configurations of either direct metal deposition or selective laser melting. A numerical analysis is also conducted to simulate the temperature profile in metal AM. These two models are compared with experimental results. The proposed model also well captured the melt pool geometry as it is compared to experimental values. In order to emphasize the importance of solving the problem considering multiple layers, the peak temperature considering the layer addition and peak temperature not considering the layer addition are compared. The results show that considering the layer addition aspect of metal additive manufacturing can help to better predict the surface temperature and melt pool geometry. An analysis is conducted to show the importance of considering the temperature sensitivity of material properties in predicting temperature. A comparison of the computational time is also provided for analytical and numerical modeling. Based on the obtained results, it appears that the proposed analytical method provides an effective and accurate method to predict the temperature in metal AM.